Effective sample selection for classification of pre-miRNAs

نویسندگان

چکیده

منابع مشابه

Genetic algorithm-based efficient feature selection for classification of pre-miRNAs.

In order to classify the real/pseudo human precursor microRNA (pre-miRNAs) hairpins with ab initio methods, numerous features are extracted from the primary sequence and second structure of pre-miRNAs. However, they include some redundant and useless features. It is essential to select the most representative feature subset; this contributes to improving the classification accuracy. We propose ...

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Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. The conventional image processing algorithms cannot perform well in scenarios where the training images (source domain) that are used to learn the model have a different distribution with test images (target domain). Also, many real world applicat...

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Effective Feature Selection for Pre-Cancerous Cervix Lesions Using Artificial Neural Networks

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ژورنال

عنوان ژورنال: Genetics and Molecular Research

سال: 2011

ISSN: 1676-5680

DOI: 10.4238/vol10-1gmr1054